This paper reflects on the experiences of the Applied Research and Innovation Systems in Agriculture (ARISA) project to caralyse agricultural innovation by bringing RIs and private sector (PS) actors together in partnerships. Facilitating partnerships to caralyse innovation requires capacity building of individuals as well as institutional change. This paper examines the approaches to parnering for innovation, successes, challenges and lessons learned
This note presents an outline of the main strands of the innovation systems research associated with the ARISA project. It begins by locating this in the current discourse on concepts and policy perspectives on innovation and capacity building before setting out key areas of research inquiry and research activities
The main challenge in Indonesia to an innovation-led approach to increasing farm productivity and farmers’ incomes is not due to a lack of good ideas by researchers but rather the lack of effective mechanisms making these ideas available and accessible to farmers.
Applied Research and Innovation Systems in Agriculture (ARISA) was implemented by CSIRO in collaboration with Indonesian partners. This multi-year program seeks to strengthen collaboration between public research organisations and agribusinesses in order to incubate and deliver technology and business solutions appropriate to smallholder farmers. The geographic focus of the program was Eastern Indonesia.
Farmer group institutions have been being a target group for various innovations in the agricultural development program. Unfortunately, the aspect of their institutional system is getting ignored frequently. This study aimed to know the farmer group institution performance’s determinant factors and its effect on the agricultural innovation implementation sustainability. This was a longitudinal study using a qualitative approach involving ten farmer group institutions (mixed crop-livestock farming) done in Lombok island.
An extension help farmers in their efforts to increase production and quality of their products in order to improve their welfare. Therefore, the extension has many roles, among others as a mentor farmer extension, organizer, coach technicians and a bridge between family farmers and research institutions in agriculture because of the existence of agricultural extension field is important for farmers. Extension activities in the desa Tanjung Gunung one of which was given to cocoa farmers.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
The advancement of agriculture sector in one region cannot be separated from the role of agricultural extension in the region. To cover the deficiency of agricultural extension agents, self-supporting extension agents are recruited from farmers or private parties. This study aims to analyze the role of self-supporting instructors in improving farmer institutions and analyze factors related to the role of self-supporting extension agents in improving farmer institutions.
Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.
This research aimed to figure out the attitude and readiness of agriculture extension officers in using the Information and Communication Technology. Data collection was done through a survey with total sample 60 respondents. Data gained were primary data from questionnaire filling by respondents who were all extension officers in Food Security and Extension Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test.